系统工程与电子技术

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干扰源定位中到达时间差参数估计方法

李宁, 曹祯, 邓中亮, 韩可   

  1. 北京邮电大学电子工程学院, 北京 100876
  • 出版日期:2016-04-25 发布日期:2010-01-03

TDOA estimation algorithm for interference source positioning

LI Ning, CAO Zhen, DENG Zhong-liang, HAN Ke   

  1. School of Electronics Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Online:2016-04-25 Published:2010-01-03

摘要:

卫星干扰源定位技术的关键之一是定位参数的测量。目前传统的定位时延估计算法无法满足在低信噪比环境下的到达时间差(time difference of arrival, TDOA)参数估计。为了进一步提高定位性能,提出了基于四阶累积量的最小均方误差算法(least mean square algorithm based on fourth-order cumulant, CUM-LMS),在使用四阶累积量进行时延估计的基础上,提取峰值信息,计算均方误差,得到准确的TDOA参数。实验结果表明,所提出的算法有效地提高了时延参数估计的性能。

Abstract:

One of the key points of satellite interference source positioning is the location parameters measurement. The existing time delay estimation algorithm of positioning cannot satisfy the time difference of arrival(TDOA) parameter estimation under low signal-to-noise ratio (SNR) circumstance. In order to improve the performance of locating, the least mean square algorithm based on fourth-order cumulant(CUM-LMS) is presented. On the basis of the time delay estimation using forth-order cumulant, the method can extract peak values, measure the LMS and finally get more accurate TDOA parameters. Experiment results show that the presented algorithm effectively improves the performance of time delay estimation.